{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 连续变量直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"https://github.com/selva86/datasets/raw/master/mpg_ggplot2.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df.displ,\n",
    "#        bins=5,\n",
    "#         density=True,\n",
    "#         cumulative=True,\n",
    "#         histtype='step',\n",
    "#         orientation='horizontal'\n",
    "         align='mid'\n",
    "        )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_agg = df.loc[:,['displ','class']].groupby('class')\n",
    "vals = [df0['displ'].values.tolist() for i,df0 in df_agg]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    displ    class\n",
      "23    5.7  2seater\n",
      "24    5.7  2seater\n",
      "25    6.2  2seater\n",
      "26    6.2  2seater\n",
      "27    7.0  2seater\n",
      "     displ    class\n",
      "0      1.8  compact\n",
      "1      1.8  compact\n",
      "2      2.0  compact\n",
      "3      2.0  compact\n",
      "4      2.8  compact\n",
      "5      2.8  compact\n",
      "6      3.1  compact\n",
      "7      1.8  compact\n",
      "8      1.8  compact\n",
      "9      2.0  compact\n",
      "10     2.0  compact\n",
      "11     2.8  compact\n",
      "12     2.8  compact\n",
      "13     3.1  compact\n",
      "14     3.1  compact\n",
      "141    2.4  compact\n",
      "142    2.4  compact\n",
      "169    2.5  compact\n",
      "170    2.5  compact\n",
      "171    2.5  compact\n",
      "172    2.5  compact\n",
      "186    2.2  compact\n",
      "187    2.2  compact\n",
      "188    2.4  compact\n",
      "189    2.4  compact\n",
      "190    3.0  compact\n",
      "191    3.0  compact\n",
      "192    3.3  compact\n",
      "193    1.8  compact\n",
      "194    1.8  compact\n",
      "195    1.8  compact\n",
      "196    1.8  compact\n",
      "197    1.8  compact\n",
      "207    2.0  compact\n",
      "208    2.0  compact\n",
      "209    2.0  compact\n",
      "210    2.0  compact\n",
      "211    2.8  compact\n",
      "212    1.9  compact\n",
      "213    2.0  compact\n",
      "214    2.0  compact\n",
      "215    2.0  compact\n",
      "216    2.0  compact\n",
      "217    2.5  compact\n",
      "218    2.5  compact\n",
      "219    2.8  compact\n",
      "220    2.8  compact\n",
      "     displ    class\n",
      "15     2.8  midsize\n",
      "16     3.1  midsize\n",
      "17     4.2  midsize\n",
      "32     2.4  midsize\n",
      "33     2.4  midsize\n",
      "34     3.1  midsize\n",
      "35     3.5  midsize\n",
      "36     3.6  midsize\n",
      "108    2.4  midsize\n",
      "109    2.4  midsize\n",
      "110    2.4  midsize\n",
      "111    2.4  midsize\n",
      "112    2.5  midsize\n",
      "113    2.5  midsize\n",
      "114    3.3  midsize\n",
      "143    2.5  midsize\n",
      "144    2.5  midsize\n",
      "145    3.5  midsize\n",
      "146    3.5  midsize\n",
      "147    3.0  midsize\n",
      "148    3.0  midsize\n",
      "149    3.5  midsize\n",
      "154    3.1  midsize\n",
      "155    3.8  midsize\n",
      "156    3.8  midsize\n",
      "157    3.8  midsize\n",
      "158    5.3  midsize\n",
      "179    2.2  midsize\n",
      "180    2.2  midsize\n",
      "181    2.4  midsize\n",
      "182    2.4  midsize\n",
      "183    3.0  midsize\n",
      "184    3.0  midsize\n",
      "185    3.5  midsize\n",
      "227    1.8  midsize\n",
      "228    1.8  midsize\n",
      "229    2.0  midsize\n",
      "230    2.0  midsize\n",
      "231    2.8  midsize\n",
      "232    2.8  midsize\n",
      "233    3.6  midsize\n",
      "    displ    class\n",
      "37    2.4  minivan\n",
      "38    3.0  minivan\n",
      "39    3.3  minivan\n",
      "40    3.3  minivan\n",
      "41    3.3  minivan\n",
      "42    3.3  minivan\n",
      "43    3.3  minivan\n",
      "44    3.8  minivan\n",
      "45    3.8  minivan\n",
      "46    3.8  minivan\n",
      "47    4.0  minivan\n",
      "     displ   class\n",
      "48     3.7  pickup\n",
      "49     3.7  pickup\n",
      "50     3.9  pickup\n",
      "51     3.9  pickup\n",
      "52     4.7  pickup\n",
      "53     4.7  pickup\n",
      "54     4.7  pickup\n",
      "55     5.2  pickup\n",
      "56     5.2  pickup\n",
      "64     4.7  pickup\n",
      "65     4.7  pickup\n",
      "66     4.7  pickup\n",
      "67     4.7  pickup\n",
      "68     4.7  pickup\n",
      "69     4.7  pickup\n",
      "70     5.2  pickup\n",
      "71     5.2  pickup\n",
      "72     5.7  pickup\n",
      "73     5.9  pickup\n",
      "83     4.2  pickup\n",
      "84     4.2  pickup\n",
      "85     4.6  pickup\n",
      "86     4.6  pickup\n",
      "87     4.6  pickup\n",
      "88     5.4  pickup\n",
      "89     5.4  pickup\n",
      "200    2.7  pickup\n",
      "201    2.7  pickup\n",
      "202    2.7  pickup\n",
      "203    3.4  pickup\n",
      "204    3.4  pickup\n",
      "205    4.0  pickup\n",
      "206    4.0  pickup\n",
      "     displ       class\n",
      "90     3.8  subcompact\n",
      "91     3.8  subcompact\n",
      "92     4.0  subcompact\n",
      "93     4.0  subcompact\n",
      "94     4.6  subcompact\n",
      "95     4.6  subcompact\n",
      "96     4.6  subcompact\n",
      "97     4.6  subcompact\n",
      "98     5.4  subcompact\n",
      "99     1.6  subcompact\n",
      "100    1.6  subcompact\n",
      "101    1.6  subcompact\n",
      "102    1.6  subcompact\n",
      "103    1.6  subcompact\n",
      "104    1.8  subcompact\n",
      "105    1.8  subcompact\n",
      "106    1.8  subcompact\n",
      "107    2.0  subcompact\n",
      "115    2.0  subcompact\n",
      "116    2.0  subcompact\n",
      "117    2.0  subcompact\n",
      "118    2.0  subcompact\n",
      "119    2.7  subcompact\n",
      "120    2.7  subcompact\n",
      "121    2.7  subcompact\n",
      "165    2.2  subcompact\n",
      "166    2.2  subcompact\n",
      "167    2.5  subcompact\n",
      "168    2.5  subcompact\n",
      "221    1.9  subcompact\n",
      "222    1.9  subcompact\n",
      "223    2.0  subcompact\n",
      "224    2.0  subcompact\n",
      "225    2.5  subcompact\n",
      "226    2.5  subcompact\n",
      "     displ class\n",
      "18     5.3   suv\n",
      "19     5.3   suv\n",
      "20     5.3   suv\n",
      "21     5.7   suv\n",
      "22     6.0   suv\n",
      "28     5.3   suv\n",
      "29     5.3   suv\n",
      "30     5.7   suv\n",
      "31     6.5   suv\n",
      "57     3.9   suv\n",
      "58     4.7   suv\n",
      "59     4.7   suv\n",
      "60     4.7   suv\n",
      "61     5.2   suv\n",
      "62     5.7   suv\n",
      "63     5.9   suv\n",
      "74     4.6   suv\n",
      "75     5.4   suv\n",
      "76     5.4   suv\n",
      "77     4.0   suv\n",
      "78     4.0   suv\n",
      "79     4.0   suv\n",
      "80     4.0   suv\n",
      "81     4.6   suv\n",
      "82     5.0   suv\n",
      "122    3.0   suv\n",
      "123    3.7   suv\n",
      "124    4.0   suv\n",
      "125    4.7   suv\n",
      "126    4.7   suv\n",
      "..     ...   ...\n",
      "129    6.1   suv\n",
      "130    4.0   suv\n",
      "131    4.2   suv\n",
      "132    4.4   suv\n",
      "133    4.6   suv\n",
      "134    5.4   suv\n",
      "135    5.4   suv\n",
      "136    5.4   suv\n",
      "137    4.0   suv\n",
      "138    4.0   suv\n",
      "139    4.6   suv\n",
      "140    5.0   suv\n",
      "150    3.3   suv\n",
      "151    3.3   suv\n",
      "152    4.0   suv\n",
      "153    5.6   suv\n",
      "159    2.5   suv\n",
      "160    2.5   suv\n",
      "161    2.5   suv\n",
      "162    2.5   suv\n",
      "163    2.5   suv\n",
      "164    2.5   suv\n",
      "173    2.7   suv\n",
      "174    2.7   suv\n",
      "175    3.4   suv\n",
      "176    3.4   suv\n",
      "177    4.0   suv\n",
      "178    4.7   suv\n",
      "198    4.7   suv\n",
      "199    5.7   suv\n",
      "\n",
      "[62 rows x 2 columns]\n"
     ]
    }
   ],
   "source": [
    "for i,df0 in df_agg:\n",
    "    print(df0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x300 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,5),dpi=60)\n",
    "ax = fig.add_axes((0,0,1.0,1.0))\n",
    "\n",
    "# 堆叠直方图\n",
    "n,bins,patches = plt.hist(vals,bins=30,stacked=True)\n",
    "# set title\n",
    "ax.set_title('Stacked Histogram of $displ$ colored by $class$',\n",
    "             fontsize=22)\n",
    "# set label\n",
    "ax.set_xlabel('displ',fontsize=15)\n",
    "ax.set_ylabel('Frequency',fontsize=15)\n",
    "\n",
    "# set ticks\n",
    "ax.xaxis.set_ticks(bins[::3])\n",
    "ax.xaxis.set_ticklabels([round(bin) for bin in bins[::3]])\n",
    "\n",
    "ax.legend(np.unique(df['class']))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x300 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,5),dpi=60)\n",
    "ax = fig.add_axes((0,0,1.0,1.0))\n",
    "\n",
    "# 堆叠直方图\n",
    "colors = [plt.cm.Spectral(i/(float(len(vals)-1)))  for i in range(len(vals))]\n",
    "n,bins,patches = plt.hist(vals,bins=30,stacked=True,color=colors)\n",
    "\n",
    "# set title\n",
    "ax.set_title('Stacked Histogram of $displ$ colored by $class$',\n",
    "             fontsize=22)\n",
    "# set label\n",
    "ax.set_xlabel('displ',fontsize=15)\n",
    "ax.set_ylabel('Frequency',fontsize=15)\n",
    "\n",
    "# set ticks\n",
    "ax.xaxis.set_ticks(bins[::3])\n",
    "ax.xaxis.set_ticklabels()\n",
    "\n",
    "ax.legend(np.unique(df['class']))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 分类变量直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"https://github.com/selva86/datasets/raw/master/mpg_ggplot2.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_var = 'manufacturer'\n",
    "groupby_var = 'class'\n",
    "df_agg = df.loc[:,[x_var,groupby_var]].groupby(groupby_var)\n",
    "vals = [df0[x_var].values.tolist() for i,df0 in df_agg]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 840x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,8),dpi=60)\n",
    "ax = fig.add_axes((0,0,1.0,1.0))\n",
    "\n",
    "# draw\n",
    "colors = [plt.cm.Spectral(i/float(len(vals)-1)) \n",
    "          for i in range(len(vals))]\n",
    "n, bins, patches = ax.hist(vals, df['manufacturer'].unique().__len__(),\n",
    "                          stacked=True,\n",
    "                          density=False, color=colors)\n",
    "\n",
    "# legend set\n",
    "ax.legend({group:col for group, col in zip(np.unique(df[groupby_var]).tolist(), colors[:len(vals)])})\n",
    "\n",
    "\n",
    "# set title\n",
    "ax.set_title(f\"Stacked Histogram of ${x_var}$ colored by ${groupby_var}$\",fontsize=22)\n",
    "\n",
    "# set label\n",
    "ax.set_xlabel(x_var, fontsize=20)\n",
    "ax.set_ylabel(\"Frequency\", fontsize=20)\n",
    "\n",
    "# set xaxis tick\n",
    "ax.xaxis.set_ticklabels(np.unique(df[x_var]).tolist(),\n",
    "                        rotation=90,ha='left',fontsize=16)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 密度图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## demo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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aH3dU0k0p8SedOzftWUvhudMsuur3OZ3fO+6IEq2i8Ep+OX0OR/sWcduO17hxz1pyLtTHHZZ0M0r8CTfp6D4mVu1jTekU3ikcFHc4ApzJ783TV9/Mm0OvYvrhnfzp5qX0qzkTd1jSjSjxJ1j/s6e4ce86Kgqv5I0Rk+MOR1JcyMll5eiP8JurrmfAByf5sw2/ZcSJd+MOS7oJJf6EMr/AJ3atwc14Yfy16oohS+0eWMqCabdyJq8Xf7RlGTMPbVGTT2k3/bcn1PTKnQw7VcWK0R9RvX6WO967kCemzWZ7ySiuPbCRu95eobt9pV2U+BOo/9lTXHtgI3uLh7GtpCzucCQNtbl5vDj+91g25qOUnniXz254IQz4ItIGSvxJ484tu9/gQk4Oy8bMVHv9rsSMTUPG8+SUT2A4/OAHsH69qn6k1dQpeMJMrNrH8JNHWDp2VrureDI1CHrWDqbehHRi3V+wtsVt2qPhbt//s/sJmD8fDh2CT35S4/tK2lTiT5D82hqu3/cWh/sNZMuVY+IOR9rhXF5BGOLx9Gl48kmYNw+qNbidpCetxG9mc8xsh5ntNrMHmlj/b2a2IZp2mtmJlHX1KesWZjJ4aZ1rD26iV20Ny8Z8VFU83YFZGOGruBiWLoV//VfYtElVP9KiFqt6zCwX+CHwCaACWGtmC9397YZt3P1/pGz/18CMlJc46+7TMxeytEXJ6WqmHt7FxiHjqepbHHc4kkkDBkCfPrB1K3z/+3DzzXDnndC3b9yRSZZKp8Q/E9jt7nvd/TzwOHDXZba/B1iQieAkQ9y5Yd+bnMvryeqR6nWzWyoogKlTQ2n/qadC6X/r1rijkiyVTuIfBhxKeV4RLbuEmY0EyoBlKYsLzGydma0xs0+3OVJpszHHKhh+8girS6dS06Nn3OFIRzGDESNg9GjYsAG++1341a/CYO8iKdJp1dNUZXBzlYh3A0+5e2qvUqXuXmlmo4FlZrbZ3fdc8iZmc4G5AKWlpWmEJenIvVDPx/e/yXu9+7NZQygmQ58+MGUKHDwICxaEk8Add8CsWWHsX0m8dEr8FcCIlOfDgebuHLmbRtU87l4ZPe4FVnBx/X/qdvPcvdzdy0tKStIIS9IxrXInhedOs7LsGnXLkCRmMHIkjB8Pu3bBj34E//7vsOeSMpckUDqZYC0wzszKzKwnIblf0jrHzCYARcDqlGVFZpYfzQ8ErgPebryvdIyedbV89J2tHOg/hINFQ+IOR+LQqxdMngz9+8OKFfDtb4dfAVVVcUcmMWqxqsfd68zsS8CLQC4w3923mtmDwDp3bzgJ3AM87n5RW7KJwI/N7ALhJPOt1NZA0rGuqdxGr9oaXhs5Le5QJG4DBkBRUbjZ64knYM0auPFGuOmmcFKQREnrzl13XwQsarTsa42e/2MT+60CprQjPmmjgtpzXPPOdnYNKOVovwFxhyPZICcnVP8MHRrq/x99FF59NTT/vP566Ncv7gilk6jLhm5q5qGt5NXXqfmmXCovD8aMgZoaOHAAfvYzWL48nACuu04ngARQ4u+G+tZ8wNR3d7FtUBnVvQvjDkeyVX5+uPh79mw4AcybF+4AvuUWnQC6OSX+bmjWoc2YO2tKVcsmaejVC6666sMTwI9/DIsXw+zZ4QQg3Y4Sf3dz7BiTj+xl0+BxnCrQLfvSCo1PAA89BIsXc0NFf9YNm8gZDdjTbSjxdzfLl1NvORpDV9qu0Qlg2uGjTHl3F5sHj+ON4ZM527Mg7gilnZT4u5MjR2D5ct4aOoEPevaKOxrp6qITwM+vvIqZFVuZdngnk4/s4fURV7Nh6ATqc3QXcFelWzm7k5dfhooK1g+bGHck0o2c7NWPJeM+xqMzbqeicBDX73+Lz735PKXHD8cdmrSREn93cfQorFwJ/ftTk5cfdzTSDVX3LmThpBt5ZvIf4Gb80dZl3Lb9VQpqz8UdmrSSEn93sXJluCtz+PC4I5Fu7mDREB6dcTtrSqcw9tghPvfmIti5M+6wpBWU+LuD994L/bAUFmrcVekU9Tm5rCmdyuPT5oSLvf/yL/D881BXF3dokgZd3O0OGkr7k9WS53I6a1D3bHmfjh70HaCqbxELpt3KPx1+Eh55JHQFcc896v8ny6nE39VVV4fb7a+4AnpqkBXpfPU5uaELiIED4YUXwgAwBw/GHZZchhJ/V/fKK+GfbMSIlrcV6UglJTBhArz1Fnzve2Hgd8lKSvxd2fHjsGxZ6FNFpX3JBr17w9VXw759YfCX116LOyJpgur4u7JXXw2l/auuijsSkQ/l5YXkv307PPxw6AXUPYwKJllBJf6u6uTJULffq1foZVEkm+TkwMSJcPo0/OIXfHzfmyH5S1ZQ4u+qXn0V9u8HDUwv2cosdPt8/jzXVG7nugMblfyzRFqJ38zmmNkOM9ttZg80sf4+M6sysw3R9IWUdfea2a5oujeTwSfWqVOhtJ+fDwXqMEuymBmMHcumweP4aMVWPnZoc9wRCWnU8ZtZLvBD4BNABbDWzBY2MXbuE+7+pUb7FgNfB8oBB9ZH+x7PSPRJtWpVKO2PGRN3JCItM2PZmHJ6XKjnYwc380FeAZuGjI87qkRLp8Q/E9jt7nvd/TzwOHBXmq9/K7DE3aujZL8EmNO2UAUIdabLl0OPHqF+X6QrMGPJuFnsLR7OTXvWMea9Q3FHlGjpJP5hQOpfqSJa1tgfm9kmM3vKzBoalae7L2Y218zWmdm6qqqqNMJKqFWrYO9e1e1Ll+OWw6IJ1/FuvwHctvM1hpzS/3lc0kn8TbXBanyF5tfAKHefCiwFft6KfcNC93nuXu7u5SUlJWmElUBnzoTSfk5OaC8t0sXU5fbguUk3cLpnb+7Y9gp9az6IO6RESifxVwCpt4UOBypTN3D3Y+5eEz39CfCRdPeVVlizRqV96fLO5RWwcNIN5F2o485tK+lRr47dOls6iX8tMM7MysysJ3A3sDB1AzMbkvL0U8C2aP5FYLaZFZlZETA7WiatdfZsKO27Q58+cUcj0i7VvQt5Yfy1DDpdzc2731Azz07WYqsed68zsy8REnYuMN/dt5rZg8A6d18I/I2ZfQqoA6qB+6J9q83sG4STB8CD7l7dAZ+j+1uzBnbtUmlfuo29A4azeuRUrj2wkao+RcAdcYeUGGl12eDui4BFjZZ9LWX+K8BXmtl3PjC/HTHKuXOhv3136Ns37mhEMuaN4ZMZeOYE1+9/C3bvhrFj4w4pEXTnblfwxhuwY4d64JTuJ2rmeaxP/9CvT7UqBDqDEn+2q6kJPXDW1YVeOEW6mdrcPBZO/Dhs3gwLFmgUr06gxJ/t1q4NpX3V7Us3dqqgb/hF+/LLsHhx3OF0e0r82ez8eXjpJaitDSNsiXRnAweG/qeefRa2bo07mm5N/fFnszfeCH2aq25f2qCzxv7N6HuVlYWRux57DP7u76C4ODOvKxdRiT9bnT0bfvLW1kJhYdzRiHSOnJwwsNCWLfDLX6q+v4Mo8WerVatCaX/UqLgjEelcBQXhmtbKlfCi7vfsCEr82ej0aVi6NMyr3b4kUUN9/8KF8HbjHuClvZT4s9HKlbBnj0r7kmxlZXDkSGjieeJE3NF0K0r82eb48dAnT26ueuCUZMvJgQkTwsXeJ56A+vq4I+o2lPizzYoVKu2LNOjVC4YNC+37ly+PO5puQ4k/mxw9Gr7cffqE+k0RgUGDQj9Vzz4bCkXSbkr82WTpUjhwQHfpijQ2diy8805o4nn6dNzRdHlK/Nli//5wUbe4GPLy4o5GJLvk5sK4cfDWW/DUU+q/v52U+LPBhQvwm9/A4cMwfHjc0Yhkpz59oKQkdFr46qtxR9OlKfFngw0bQvcMw4aFko2ING3w4DA+xdNPw8GDcUfTZaWV+M1sjpntMLPdZvZAE+v/1szeNrNNZvaSmY1MWVdvZhuiaWHjfROvpiaU9t9/P5RmRKR5ZjB+POzbF/rz+UCDtbdFi4nfzHKBHwK3AZOAe8xsUqPN3gLK3X0q8BTw7ZR1Z919ejR9KkNxdx8rVoR+yEePDl9qEbm8Hj3Cxd61a0N9/4ULcUfU5aRT4p8J7Hb3ve5+HngcuCt1A3df7u4Np941gCqq03H4MDz/fLiYq0FWRNLXr1/o1mHp0tDGX1olncQ/DDiU8rwiWtac+4HfpjwvMLN1ZrbGzD7dhhi7pwsX4LnnQmuesrK4oxHpeoYMCb3XPv10GKxI0pZO4m+q/qHJtlRm9udAOfCdlMWl7l4O/BnwXTMb08y+c6MTxLqqqqo0wuri1q8PPXAOG6bmmyJtYfZh+/7HHtN4va2QTuKvAFJHAhkOVDbeyMxuAb4KfMrdaxqWu3tl9LgXWAHMaOpN3H2eu5e7e3lJd7/IeeIE/Od/hhtRBg2KOxqRris398P+fB57LPwCkBalk/jXAuPMrMzMegJ3Axe1zjGzGcCPCUn/aMryIjPLj+YHAtcBye5j1T0k/a1bww0puqAr0j6p/ff/+te6uSsNLSZ+d68DvgS8CGwDfuXuW83sQTNraKXzHaAv8GSjZpsTgXVmthFYDnzL3ZOd+NetCy15Bg0KHVCJSPsVF4exKxYu1M1daUhrzF13XwQsarTsaynztzSz3ypgSnsC7Faqq+GZZ0Kb/auvjjsake6ltDSMWrdgAQwYAJMatzqXBrpzt7PU1YUv5Ntvq4pHpCOYhfr+w4fh4YfDRV9pkhJ/Z1m8ONRBjhgR6iRFJPNycmDixNC88yc/gffeizuirKTE3xnefju02c/LCzediEjH6dkTrroq9OT5s5+FqlW5iBJ/R3v3XXjkkTDIyujRcUcjkgy9eoU2/qtWwfz5cOZM3BFlFSX+jnT6NPzHf8C2baEEkqPDLdJp+vULQ5iuWBGSvzp0+520WvVIG5w/H24oef31UPLQUIoina+oKDwuWxYu/n7+86Ff/4RT4u8IdXVhiLjFi8PAKuqATSQ+RUXhpq6lS0OB7P77obAw7qhipcSfafX18OSTsGhR6F9fF3NF4ldcHKpaX345jIHxhS8kevwLJf5Mqq0N/YM/91woUQweHHdEItKgf/9wD83q1eFi7333hWrYBNLVxkw5dw5+/vNwZ26/fqHXTRHJLn37hjt6N2+G738/nAQS2LePEn8mVFeHm0UWLQpVO0r6ItmroACmToXKSpg3Dx5/HM6ejTuqTqWqnvbatSu009+0CUaODHWJIpLdcnNh8mSoqAjX5Pbvh898JjH32ijxt1VtLbz0UugGtqIitNNXb5siXYdZ6EKlsBDWrIEDB+C222D27G7/v6zE3xb794fh3l5/PXTDMHVqKEGISNdzxRXhf/jAgfDr/c034fbboby82/5fK/G3xrFjoW3+ihWhK4ZRoz68QUREuq7c3FDNc/o0bNkCu3fDjBlw883dsmCnxJ+Ow4fhtddC75oHDoR6/G74ZRBJvL59w1gZ1dXwyiuwYUO4FnD99TB9eljfDSjxN+fcuTA84vr1oZe/ysrwk3Dy5ND7n4h0T2ZhIJfiYjh+HNauDTlg2DCYNSucGMaP79J5IK3Eb2ZzgO8BucBP3f1bjdbnA48AHwGOAZ9x9/3Ruq8A9wP1wN+4+4sZiz6T3KGqCvbtC6P4bNoUSvpnzoQmmlOmQA+dJ0USwywk/+Li0MFbZWXoiuWKK2DIkHACGDcutOa78soulR9ajNTMcoEfAp8AKoC1Zraw0di59wPH3X2smd0N/DPwGTObRBicfTIwFFhqZuPdvT7TH6RVzp0LSb6qKnSXfPQo7NkTEv2JE+GW7iuuCHfe9uun0bJEkq5373CXrzucPBlyxa5doXFHYWG4K3j06PCrYMiQUFgsLAxTFp4Q0oloJrDb3fcCmNnjwF1AauK/C/jHaP4p4AdmZtHyx929BthnZruj11udmfAb2bAhdMJUW/vhdP58KLWfPh1+th07FgZmOHs2nMXPnQt/zPz88McrK+v2TblEpI3MQp7o3z88r6mBU6dC4XH//tBXV15eOFEUFIRc0r8/DBoUCpEFBR8uz88P1wlzcsJjbm6oPpo8ucM/RjqJfxhwKOV5BTCruW3cvc7MTgIDouVrGu3bcbe1PvssHDoEFy6EqUFOTph69PjwwJeUhAv8wKYFAAAGRElEQVQ1vXt3vxL9vrgDEGmDIUPijqD93ENh8syZ8Hj2LBw5EhqFXLgQco17OEE05KWcnA9z0JgxWZP4m8qKjTu3aG6bdPYNL2A2F5gbPT1tZjvSiK2zDAS60uCdirfjdKVYoQvFGyWLLhMvHRXr3/99W/ccme6G6ST+CmBEyvPhQGUz21SYWQ+gEKhOc18A3H0eMC+9sDuXma1z9/K440iX4u04XSlWULwdqSvF2lg6nbStBcaZWZmZ9SRcrF3YaJuFwL3R/J8Ay9zdo+V3m1m+mZUB44A3MhO6iIi0RYsl/qjO/kvAi4TmnPPdfauZPQisc/eFwM+AX0QXb6sJJwei7X5FuBBcB3wx9hY9IiIJl1Y7I3dfBCxqtOxrKfPngD9tZt9vAt9sR4zZICuroC5D8XacrhQrKN6O1JVivYh5AgchEBFJMg3EIiKSMEr8ETMrNrMlZrYreryk200zm25mq81sq5ltMrPPpKx72Mz2mdmGaJreATHOMbMdZrbbzB5oYn2+mT0RrX/dzEalrPtKtHyHmd2a6djaGO/fmtnb0bF8ycxGpqyrTzmWjRsTxBXvfWZWlRLXF1LW3Rt9d3aZ2b2N940h1n9LiXOnmZ1IWRfHsZ1vZkfNbEsz683Mvh99nk1mdk3Kus4+ti3F+tkoxk1mtsrMpqWs229mm6Nju66jY20zd9cUqru+DTwQzT8A/HMT24wHxkXzQ4HDQP/o+cPAn3RgfLnAHmA00BPYCExqtM1/Ax6K5u8GnojmJ0Xb5wNl0evkdvDxTCfem4De0fxfNcQbPT/dyX//dOK9D/hBE/sWA3ujx6JovijOWBtt/9eERhmxHNvoPT8OXANsaWb97cBvCc35Pwa8HsexTTPWaxtiAG5riDV6vh8Y2NnHt7WTSvwfugv4eTT/c+DTjTdw953uviuarwSOAiWdFN/vus5w9/NAQ9cZqVI/w1PAzY27znD3fUBD1xmxxuvuy939g+jpGsJ9HnFJ5/g251ZgibtXu/txYAkwp4PihNbHeg+woAPjaZG7ryS0+GvOXcAjHqwB+pvZEDr/2LYYq7uvimKB+L+3baLE/6Er3f0wQPQ46HIbm9lMQmlrT8rib0Y///7NQo+lmdRU1xmNu7+4qOsMILXrjJb2zbTWvuf9hBJfgwIzW2dma8zskpNwB0g33j+O/sZPmVnDzYmdfXzTfr+o+qwMWJayuLOPbTqa+0xxfHdbo/H31oHFZrbeQm8EWSn7uo3rQGa2FBjcxKqvtvJ1hgC/AO5194ZOgb4CvEs4GcwD/jfwYNujvfRtm1iW8a4zMqg13XX8OVAO3JCyuNTdK81sNLDMzDa7+56m9s+QdOL9NbDA3WvM7C8Jv67+IM19M6k173c38JRffP9MZx/bdGTTdzctZnYTIfH/fsri66JjOwhYYmbbo18QWSVRJX53v8Xdr25ieg44EiX0hsR+tKnXMLMrgOeBf4h+kja89uHoZ2oN8B9kviqlNV1nYG3sOiOD0npPM7uFcOL9VHTsgN9VpeGhV9gVwIyODJY04nX3Yykx/oQw/kRa+2ZYa97vbhpV88RwbNPR3GeK47vbIjObCvwUuMvdjzUsTzm2R4Fn6fgq1baJ+yJDtkzAd7j44u63m9imJ/AS8OUm1g2JHg34LvCtDMfXg3Bhq4wPL+hNbrTNF7n44u6vovnJXHxxdy8df3E3nXhnEKrKxjVaXgTkR/MDgV1c5uJlJ8Y7JGX+D4E10XwxoU/UomjaBxTHGWu03QTCxUaL89imvPcomr9g+kkuvrj7RhzHNs1YSwnXya5ttLwP0C9lfhUwpzOObas/X9wBZMtEqAt/KfpHeKnhy0WogvhpNP/nQC2wIWWaHq1bBmwGtgCPAn07IMbbgZ1RsvxqtOxBQmkZoAB4MvpSvgGMTtn3q9F+O4DbOumYthTvUuBIyrFcGC2/NjqWG6PH+7Mk3v8LbI3iWg5clbLvf42O+27g83HHGj3/RxoVQGI8tgsIreBqCaX4+4G/BP4yWm+EAZ/2RHGVx3hsW4r1p8DxlO/tumj56Oi4boy+J1/tjGPblkl37oqIJEyi6vhFRESJX0QkcZT4RUQSRolfRCRhlPhFRBJGiV9EJGGU+EVEEkaJX0QkYf4/jnjJa+nCdDEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.rand(100)\n",
    "sns.kdeplot(x,\n",
    "            shade=True,\n",
    "            color='r',\n",
    "           vertical=False,\n",
    "            alpha=0.5)\n",
    "plt.hist(x,bins=20,density=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## exercise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"https://github.com/selva86/datasets/raw/master/mpg_ggplot2.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "c4 = df.loc[df.cyl==4,'cty'].values\n",
    "c5 = df.loc[df.cyl==5,'cty'].values\n",
    "c6 = df.loc[df.cyl==6,'cty'].values\n",
    "c8 = df.loc[df.cyl==8,'cty'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 840x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,8),dpi=60)\n",
    "ax = fig.add_axes((0,0,1.0,1.0))\n",
    "\n",
    "sns.kdeplot(c4, shade=True, color='deeppink', alpha=.6, label='Cyl=4')\n",
    "sns.kdeplot(c5, shade=True, color='g', alpha=.6, label='Cyl=5')\n",
    "sns.kdeplot(c6, shade=True, color='b', alpha=.6, label='Cyl=6')\n",
    "sns.kdeplot(c4, shade=True, color='orange', alpha=.6, label='Cyl=8')\n",
    "\n",
    "ax.set_title('Density Plot of City Mileage by n_Cylinders',\n",
    "            fontsize=22)\n",
    "\n",
    "# frameon 设置legend的bbox不显示\n",
    "ax.legend(fontsize=14,frameon=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 直方密度曲线图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## demo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = np.random.rand(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(x, \n",
    "             bins=10,\n",
    "            hist=True,\n",
    "            kde=True,\n",
    "            hist_kws={'color':'g','histtype':'bar','alpha':.3},\n",
    "            kde_kws={'shade':True,'color':'r','linewidth':3})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## exercise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"https://github.com/selva86/datasets/raw/master/mpg_ggplot2.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "suv           62\n",
       "compact       47\n",
       "midsize       41\n",
       "subcompact    35\n",
       "pickup        33\n",
       "minivan       11\n",
       "2seater        5\n",
       "Name: class, dtype: int64"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['class'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [],
   "source": [
    "class_ = set(df['class'].values)\n",
    "class_ = ['compact','suv','minivan']\n",
    "data_ = []\n",
    "for c in class_:\n",
    "    data_.append(df.loc[df['class']==c,'cty'].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 840x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,8),dpi=60)\n",
    "ax = fig.add_axes((0,0,1.0,1.0))\n",
    "\n",
    "\n",
    "for data,c in zip(data_,class_):\n",
    "    sns.distplot(data,label=c)\n",
    "\n",
    "ax.legend(class_,fontsize=12)\n",
    "\n",
    "ax.set_xlim(5,30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [],
   "source": [
    "class_ = ['compact','suv','minivan']\n",
    "data_ = []\n",
    "for c in class_:\n",
    "    data_.append(df.loc[df['class']==c,'cty'].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 840x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,8),dpi=60)\n",
    "ax = fig.add_axes((0,0,1.0,1.0))\n",
    "\n",
    "\n",
    "\n",
    "sns.distplot(data_[0],label=class_[0],color='dodgerblue',\n",
    "            hist_kws={'alpha':.7},\n",
    "            kde_kws={'linewidth':3,'alpha':.7})\n",
    "sns.distplot(data_[1],label=class_[1],color='orange',\n",
    "            hist_kws={'alpha':.7},\n",
    "            kde_kws={'linewidth':3,'alpha':.7})\n",
    "sns.distplot(data_[2],label=class_[2],color='g',\n",
    "            hist_kws={'alpha':.7},\n",
    "            kde_kws={'linewidth':3,'alpha':.7})\n",
    "\n",
    "ax.legend(class_,fontsize=14,frameon=False)\n",
    "\n",
    "plt.title('Density Plot of City Mileage by Vehicle Type', fontsize=22)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Joyplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [],
   "source": [
    "import joypy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [],
   "source": [
    "iris = sns.load_dataset('iris')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "joypy.joyplot(iris,\n",
    "             column=['sepal_length','petal_length'],\n",
    "              by='species',\n",
    "              xlabelsize=12,\n",
    "              ylabelsize=12,\n",
    "#               ylim='own',\n",
    "#               grid=True,\n",
    "#               fill= False,\n",
    "#               hist=True,\n",
    "              xrot=30,\n",
    "              yrot=30,\n",
    "              overlap=3,\n",
    "              title='text'\n",
    "             )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## exercise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"https://github.com/selva86/datasets/raw/master/mpg_ggplot2.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 840x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,8),dpi=60)\n",
    "\n",
    "fig,ax = joypy.joyplot(df, \n",
    "                       column=['hwy', 'cty'],\n",
    "                      by='class',\n",
    "                      ylim='own',\n",
    "                      xlabelsize=12,\n",
    "            \n",
    "                       \n",
    "                       ylabelsize=12,\n",
    "                      title='Joy Plot of City and Highway Mileage by Class')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 分布式包点图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## version I"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_raw = pd.read_csv(\"https://github.com/selva86/datasets/raw/master/mpg_ggplot2.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# prepare data\n",
    "df = df_raw[['cty','manufacturer']].groupby('manufacturer').apply(lambda x:x.mean())\n",
    "df.sort_values('cty',ascending=False,inplace=True)\n",
    "df = df.reset_index()\n",
    "\n",
    "df_median = df_raw[['cty','manufacturer']].groupby('manufacturer').apply(lambda x:x.median())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>manufacturer</th>\n",
       "      <th>cty</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>honda</td>\n",
       "      <td>24.444444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>volkswagen</td>\n",
       "      <td>20.925926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>subaru</td>\n",
       "      <td>19.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>hyundai</td>\n",
       "      <td>18.642857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>toyota</td>\n",
       "      <td>18.529412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>nissan</td>\n",
       "      <td>18.076923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>audi</td>\n",
       "      <td>17.611111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>pontiac</td>\n",
       "      <td>17.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>chevrolet</td>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ford</td>\n",
       "      <td>14.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>jeep</td>\n",
       "      <td>13.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>mercury</td>\n",
       "      <td>13.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>dodge</td>\n",
       "      <td>13.135135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>land rover</td>\n",
       "      <td>11.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>lincoln</td>\n",
       "      <td>11.333333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   manufacturer        cty\n",
       "0         honda  24.444444\n",
       "1    volkswagen  20.925926\n",
       "2        subaru  19.285714\n",
       "3       hyundai  18.642857\n",
       "4        toyota  18.529412\n",
       "5        nissan  18.076923\n",
       "6          audi  17.611111\n",
       "7       pontiac  17.000000\n",
       "8     chevrolet  15.000000\n",
       "9          ford  14.000000\n",
       "10         jeep  13.500000\n",
       "11      mercury  13.250000\n",
       "12        dodge  13.135135\n",
       "13   land rover  11.500000\n",
       "14      lincoln  11.333333"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 840x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,8),dpi=60)\n",
    "ax = fig.add_axes((0,0,1.0,1.0))\n",
    "\n",
    "# draw hlines\n",
    "ax.hlines(y=df.index, xmin=0, xmax=40, \n",
    "          color='gray', alpha=0.5, linewidth=.5, linestyles='dashdot')\n",
    "\n",
    "# plot scatter\n",
    "\n",
    "for i, make in enumerate(df.manufacturer):\n",
    "    df_make = df_raw.loc[df_raw.manufacturer==make,:] \n",
    "    # 在每一行中绘制出该制造商所产汽车的所有里程数\n",
    "    ax.scatter(y=np.repeat(i, df_make.shape[0]),x=df_make.cty,\n",
    "              s=75, edgecolor='gray', c='w',alpha=.5)\n",
    "    # 在每一行中绘制出该制造商所产汽车的里程中位数\n",
    "    \n",
    "    collect = ax.scatter(y=i, x=df_median.loc[df_median.index==make,:],\n",
    "              s=75, c='firebrick')\n",
    "    \n",
    "\n",
    "# add text\n",
    "ax.text(34, 13.5, 'red dots are the median',\n",
    "       fontsize=12, color='firebrick',fontstyle='italic' )\n",
    "\n",
    "# lighten borders\n",
    "for spine in ax.spines.values():\n",
    "    spine.set(alpha=0)\n",
    "\n",
    "# set title\n",
    "ax.set_title('Distribution of City Mileage by Make', \n",
    "             fontsize=22)\n",
    "\n",
    "# set xlabel\n",
    "ax.set_xlabel('Miles Per Gallon (City)', alpha=0.7)\n",
    "\n",
    "# set ytick\n",
    "ax.yaxis.set_ticks(df.index)\n",
    "ax.yaxis.set_ticklabels(df.manufacturer, ha='right', alpha=.7)\n",
    "\n",
    "# set xlim\n",
    "ax.set_xlim(1,40)\n",
    "\n",
    "# set legend\n",
    "ax.legend([collect],['Median'])\n",
    "ax.grid(axis='both',alpha=.4,linewidth=.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.collections.LineCollection at 0x7fb52eb5d5f8>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb676a0>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb67ac8>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb67e48>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb6f128>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb67da0>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb67550>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb6f470>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb6fcf8>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb6fcc0>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb72358>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb6ff98>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb72a58>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb72dd8>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52ed82080>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb72d30>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52ed827b8>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb72748>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52ed82a90>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52eb72f98>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52ed82fd0>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52ed82cc0>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52ed8b748>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52ed8b6d8>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52ed8bdd8>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52ed8ba20>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52ed924a8>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52ed92438>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52ed92b38>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52ed8bac8>,\n",
       " <matplotlib.collections.PathCollection at 0x7fb52ed92828>]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.collections"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## version II"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "# prepare data\n",
    "\n",
    "cyl_colors = {4:'tab:cyan', 5:'tab:green', 6:'tab:olive', 8:'tab:brown'}\n",
    "df_raw['cyl_colors'] = df_raw.cyl.map(cyl_colors)\n",
    "\n",
    "df = df_raw[['cty','manufacturer']].groupby('manufacturer').apply(lambda x:x.mean())\n",
    "df.sort_values('cty',ascending=False,inplace=True)\n",
    "df = df.reset_index()\n",
    "\n",
    "df_median = df_raw[['cty','manufacturer']].groupby('manufacturer').apply(lambda x:x.median())\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 840x480 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,8),dpi=60)\n",
    "ax = fig.add_axes((0,0,1.0,1.0))\n",
    "\n",
    "# draw hlines\n",
    "ax.hlines(y=df.index, xmin=0, xmax=40, \n",
    "          color='gray', alpha=0.5, linewidth=.5, linestyles='dashdot')\n",
    "\n",
    "# plot scatter\n",
    "for i, make in enumerate(df.manufacturer):\n",
    "    df_make = df_raw.loc[df_raw.manufacturer==make,:] \n",
    "    # 在每一行中绘制出该制造商所产汽车的所有里程数\n",
    "    ax.scatter(y=np.repeat(i, df_make.shape[0]),x=df_make.cty,\n",
    "              s=75, edgecolor='gray', c=df_make.cyl_colors, alpha=.5,\n",
    "               label=df_make.cyl)\n",
    "    # 在每一行中绘制出该制造商所产汽车的里程中位数   \n",
    "    collect = ax.scatter(y=i, x=df_median.loc[df_median.index==make,:],\n",
    "              s=75, c='firebrick')\n",
    "    \n",
    "\n",
    "# add text\n",
    "ax.text(34, 11, 'red dots are the median',\n",
    "       fontsize=12, color='firebrick',fontstyle='italic' )\n",
    "\n",
    "# lighten borders\n",
    "for spine in ax.spines.values():\n",
    "    spine.set(alpha=0)\n",
    "\n",
    "# set title\n",
    "ax.set_title('Distribution of City Mileage by Make', \n",
    "             fontsize=22)\n",
    "\n",
    "# set xlabel\n",
    "ax.set_xlabel('Miles Per Gallon (City)', alpha=0.7)\n",
    "\n",
    "# set ytick\n",
    "ax.yaxis.set_ticks(df.index)\n",
    "ax.yaxis.set_ticklabels(df.manufacturer, ha='right', alpha=.7)\n",
    "\n",
    "# set xlim\n",
    "ax.set_xlim(1,40)\n",
    "\n",
    "# set legend\n",
    "handlers = []\n",
    "labels = []\n",
    "for cyl,color in cyl_colors.items():\n",
    "    point = ax.scatter([],[],s=75,edgecolor='gray', c=color,alpha=.5)\n",
    "    labels.append(f'cyl={cyl}')\n",
    "    handlers.append(point)\n",
    "handlers.append(collect)\n",
    "labels.append('Median')\n",
    "ax.legend(handlers,labels,fontsize=12)\n",
    "\n",
    "ax.grid(axis='both',alpha=.4,linewidth=.1)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
